Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards.

The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community.

The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.

chapter 1|26 pages

A Novel Stacked Model Ensemble for Improved TB Detection in Chest Radiographs

BySivaramakrishnan Rajaraman, Sema Cemir, Zhiyun Xue, Philip Alderson, George Thoma, Sameer Antani

chapter 3|20 pages

Early Detection of Epileptic Seizures Based on Scalp EEG Signals

ByAbhishek Agrawal, Lalit Garg, Eliazar Elisha Audu, Ram Bilas Pachori, Justin H.G. Dauwels

chapter 4|12 pages

Fractal Analysis in Histology Classification of Non-Small Cell Lung Cancer

ByRavindra Patil, Geetha M. Srinidhi Bhat, Dinesh M.S. Leonard Wee, Andre Dekker

chapter 5|23 pages

Multi-Feature-Based Classification of Osteoarthritis in Knee Joint X-Ray Images

ByRavindra S. Hegadi, Dattatray N. Navale, Trupti D. Pawar, Darshan D. Ruikar

chapter 6|35 pages

Detection and Classification of Non-Proliferative Diabetic Retinopathy Lesions

ByRamesh R. Manza, Bharti W. Gawali, Pravin Yannawar, K.C. Santosh

chapter 7|25 pages

Segmentation and Analysis of CT Images for Bone Fracture Detection and Labeling

ByDarshan D. Ruikar, K.C. Santosh, Ravindra S. Hegadi

chapter 8|28 pages

A Systematic Review of 3D Imaging in Biomedical Applications

ByDarshan D. Ruikar, Dattatray D. Sawat, K.C. Santosh

chapter 10|28 pages

Pathological Medical Image Segmentation: A Quick Review Based on Parametric Techniques

ByM. Ravi, Ravindra S. Hegadi